Artwork Identification for 360-Degree Panoramic Images Using Polyhedron-Based Rectilinear Projection and Keypoint Shapes

Abstract

Abstract:With the increased development of 360-degree production technologies, artwork has recently been photographed without authorization. To prevent this infringement, we propose an artwork identification methodology for 360-degree images. We transform the 360-degree image into a three-dimensional sphere and wrap it with a polyhedron. On the sphere, several points are located on the polyhedron to determine the width, height, and direction of the rectilinear projection. The 360-degree image is divided and transformed into several rectilinear projected images to reduce the adverse effects from the distorted panoramic image. We also propose a method for improving the identification precision of artwork located at a highly distorted position using the difference of keypoint shapes. After applying the proposed methods, identification precision is increased by 45% for artwork that is displayed on a 79-inch monitor in a seriously distorted position with features that were generated by scale-invariant feature transformations.

Artwork Recognition for Panorama Images Based on Optimized ASIFT and Cubic Projection

“…However, an artwork identification approach has been hypothesized [20] that transforms the 360°i mage into a 3D sphere and surrounds it with a polyhedron [20]. The results of [20] show that this method can significantly increase identification precision for artwork, displayed on a monitor, that would otherwise be severely distorted. In addition, the use of different local features for feature matching was analyzed.…”